Next-generation decomposition of multi-channel EMG signals

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 1, Issue , 2002, Pages 36-37

  Nawab, S H ^a   Wotiz, R P ^a   Hochstein, L M ^a   De Luca, C J ^b  

^a Boston University   (United States)

^b BOSTON UNIVERSITY   (United States)

Author keywords

Decomposition; EMG; IPUS; Multi channel

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOELECTRIC POTENTIALS; ERROR CORRECTION; KNOWLEDGE BASED SYSTEMS; PROBABILITY; SIGNAL DETECTION; SIGNAL DISTORTION; SIGNAL TO NOISE RATIO;

A PRIORI PROBABILITY; DECOMPOSITION ERRORS; MULTICHANNELING; PRECISION DECOMPOSITION TECHNIQE; PULSE DETECTION; SIGNAL RE-PROCESSING TECHNIQUE;

ELECTROMYOGRAPHY;

EID: 0036907749     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (2)

1. R. S. LeFever, and C. J. De Luca, "A Procedure for Decomposing the Myoelectric Signal Into Its Constituent Action Potentials - Part I: Technique, Theory, and Implementation," IEEE Trans. Biomed. Eng., BME-29 pp. 149-157, 1982.
2. V.R. Leeser, S. H. Nawab, and F.I. Klassner, "IPUS: an architecture for the integrated processing and understanding of signals," Artificial Intelligence, 77, pp. 129-171, 1995.